In their constant quest for better performance, online retailers have developed genuine e-commerce ecosystems for themselves. However, faced with the continually increasing amount of marketing tools available, having them all in one place makes more sense to allow for a more in-depth analysis of activity. That’s where the Data Import feature in Google Analytics comes in.
Using this feature you can import data from external sources (CRM, inventory management tools, etc) and combine it with the data collected in Google Analytics itself. The imported data can then be used to help develop your reports, your segments, and even your remarketing audience. With its help, you get a comprehensive view of your customers’ activity both on and off line.
Google recognises three different kinds of data: Hit-data, Extended-data, and Summary-data.
To start with, you can import refund data into the tool including the product’s price, the amount refunded, and the profit turned. Integrating (total or partial) refunds that you could make on orders into Analytics allows you to obtain a more detailed overview of your activity.
To get a better understanding of the visitors on your site user data allows you to import information such as the date of a user’s last purchase, their interests, their loyalty rating, and their customer value.
For product data, you can transfer information from your product catalogue straight to Google Analytics including the brand, category, size, colour, price, etc. As such, you can evaluate your customer’s buying process, the traffic on your site, your conversions, and the income generated.
Campaign data lets you reuse your preexisting (non-google) campaign codes, to get a more personalised analysis of your publicity campaigns’ performances. “Source” and “Medium” are examples of information you can import.
Cost data lets you analyse your campaigns’ performances and get an overall view of your spending. This includes impression, clicks and costs from (non-google) ad networks.
Using information from your CMS, you can import content data into Analytics to benefit from more complete information on each of your site’s pages (author, publication date, category) and identify what content is most read.
This step consists in importing files containing external data into Google Analytics.
The data imported into Google usually comes from offline business tools (CRM or CMS systems). If you want to use smaller amounts of data, you can either create a direct import from your (CRM) management tool or manually import it with the help of a text editor or a spreadsheet.
When it comes to data importation, you have two options. Either you log on to Google Analytics, then click on ‘Admin’ > ‘Property’ > ‘Data Import’, or you can use the Analytics Management API to carry out this step.
The imported data will be matched using a key located in, for example, your spreadsheet and in Google Analytics (SKU, URL, etc).
By importing your data into Google Analytics, you can add extra information without having to rewrite code. Plus, this avoids slowing down your loading times with more lines of code.
Importing refund data is done with the ‘Transaction ID’ key that must be put into your import file. For total refunds, you only need to include this ID, however, for partial refunds, you need to include the transaction ID, the Product SKU, and the Quantity Refunded.
Note: Total and partial refunds must be separated into 2 files.
Key: Transaction ID
Dimension: Product SKU
Metrics: Products Price, Quantity Refunded, Revenue
Once imported, your refund data will be accessible in your Sales Performance Report.
If you want to know more about which sizes and colours are most popular with your customers, here is how to import your product data into Google Analytics.
Key: Product Code
> Choice field: product range
Google Shopping, brand, category (advanced ecommerce features), product variety.
Choice statistic: product range
To import cost data, you need to gather together the data generated by campaigns not done on Google (keywords on search engines, email campaigns, advertising on social media, etc). This data is then combined with revenue and conversion data to obtain stats for each campaign, keyword, ad, etc, and to analyse the performance of marketing strategies in place.
‘Medium’ and ‘Source’ dimensions are obligatory, as well as at least one of the ‘clicks’, ‘cost’, or ‘impressions’ dimensions.
You will then be able to download the following elements: ad content, groups of ads, advertising space, position, AdWords, Campaign IDs, AdWord criteria IDs, Campaigns, destination URLs, published URLs, Keywords, queries with replies, and Referral Paths.
It is also possible to link your AdWords and Google Analytics Accounts, so your AdWords data is automatically uploaded into Analytics.